Tjerk Timan

TNO

Tjerk Timan joined TNO in 2017 as a policy advisor and researcher in the field of data-driven innovation, digitisation of public services and governance, and cybersecurity in relation to national and international policy making. Currently, he is involved in a range of projects around big data and AI impact assessments for the public sector and developing a research line into regulation, norms and values in the design process of novel ICTs, AI in particular. Formerly, he held a position as PostDoc researcher at the Tilburg Institute for Law and Technology (TILT), where he was engaged in questions around new privacy issues due to the 21st century digitisation and innovation. Here, he was also involved in several h2020 projects on ICT development for law enforcement and data-related projects for (local) governments. He has published in international, peer-reviewed journals in the field of law, policy studies, media studies and STS. He has been teaching in the field of data science and digital methods, data visualization, STS, and media studies for several universities and institutes (Erasmus University Rotterdam, Tilburg University, JADS data science academy, University of Amsterdam). He completed his PhD thesis at the University of Twente in which he investigated emerging and existing technologies of surveillance in urban nightlife districts Research interests: social science methods, digital research methods, public sector impact assessment, trustworthy and fair AI. media theory, data science, information visualisation, interface- and code studies, science studies, STS theory, user studies, surveillance theory, privacy, Big Data, Data-Driven Innovation

Tjerk is speaking at

Focus Track 4 - New challenges ahead: Data, AI and the new Society
November 5, 2020
12:00 pm - 1:30 pm

Speakers

Description

Recently the EC has issued a consultation in which the need for AI regulation played an important role.  There were 1200 contributions, so 50% more than the Data Strategy consultation. Some 350 companies (the same as data sharing), 400 from citizens (!), and 150 from research institutions. So, AI is really something that keeps citizens busy! Like with data sharing, everybody agrees that the EU should ‘do more’. However, there are highlights. Skills is found very important (89%) to address, also testing facilities (76%) and European Data spaces (75%), Improving existing networks on AI found much support (86%) but a lighthouse research center much less (64%). The section on the risks of AI has been very well addressed by the respondents. This is clearly a concern with many people.
However, the way forward (introduce new regulation, adapt current legislation) is not decided, and there was even less agreement on the identification of high-risk AI applications, how to define them and what to do with them.
The debate on how to move forward with AI applications in terms of requirements, risk, and labelling/certification is clearly still open. In this session we aim to continue the debate and bring it a step further.
Objectives:
The session aims to probe further into the topic ‘AI regulation’ and provide the audience with insights and directions that help them to further shape this EU-wide debate. Specifically, since many of these topics are expected to play a role in the forthcoming Work Programs, the session will create additional links between researchers and practitioners from different backgrounds.
Further description:
The speakers / panelists will be proposed the following questions:
  1. is there a need for a regulatory system for AI systems in Europe? What are the advantages and disadvantages of regulating AI systems?
  2. which AI systems should be regulated? Which criteria should be used to define the need for regulation? 
  3. what types of regulation exist and what is considered to be effective?
  4. how can regulation of AI systems be successful? 
  5. how is the certification of AI systems related to data?
  6. what role do ethical considerations play in the regulation of AI systems?

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